The effect of the collaborative infertility counseling model on coping strategies in infertile women undergoing in vitro fertilization: A randomized controlled trial

Objectives: Infertility is a stressful condition influencing interpersonal and social relationships among infertile couples. Various strategies have been suggested for coping with infertility. This study examined the effect of the collaborative infertility counseling model on coping strategies in infertile women undergoing in vitro fertilization (IVF) in an urban area of Iran. Materials and Methods: This clinical controlled trial was conducted on 60 women with primary infertility selected from Milad Infertility Center in Mashhad, Iran. They were randomly allocated to the intervention and control groups with 29 and 31 samples in each group. The intervention group received individual counseling based on the collaborative reproductive healthcare model. The counseling was provided with the collaboration of a midwife, a gynecologist and a clinical psychologist in 5 sessions during a 2-month period. The control group received only routine care. The fertility problem inventory (FPI) and general health questionnaire were used to measure perceived fertility-related stress and general health, respectively. Moreover, the ways of coping-revised questionnaire was used to collect data regarding the women’s coping strategies at the beginning of the study and at the day of the embryo transfer. The student t test, Fisher exact test, Mann-Whitney U test and analysis of variance (ANOVA) were used for data analysis. Results: A statistically significant difference was reported between the two groups in terms of problem-focused coping strategies (P = 0.037). However, no statistically significant difference was reported between the groups with regard to emotion-focused coping strategies (P = 0.947). There were statistically significant differences between the 2 groups in the mean scores of seeking social support (P = 0.022) and planful problem-solving strategies (P = 0.045) as the subscales of problem-focused coping strategies. Conclusion: The collaborative reproductive healthcare model promoted the use of problem-focused coping strategies. Therefore, the use of collaborative counseling approaches by healthcare professionals is suggested for assisting infertile women to cope with infertility. © 2018 The Author (s)

Incidence of Snake Bites in Kashan, Iran During an Eight Year Period (2004-2011)

Background: Snake bites are one of the significant health problems in the tropical and subtropical regions. Snake bite is a common medical emergency in Iran, and the epidemiological features and management of such cases vary from region to region. Objectives: This present research study was conducted to obtain new information about the epidemiology of snake bites in the region of Kashan, located in the central part of Iran. Patients and Methods: This research was a descriptive retrospective study. Data from 2004 to 2011 of snakebite cases were collected from case reports. Information included; age and sex of the victim, district, month of incident, mortality, and time of bite. Results: The results of this study showed that the majority of snake bite patients were male (96%). The age distribution of patients indicated that the greatest rate of snake bites occurred among the 15-24 year old group. Data collected in this study revealed that the highest incidence of snake bite cases took place in summer (60%) and the lowest number occurred in winter, with no snake bite cases being recorded. The peak number of snakebite cases was seen during June-September. Conclusions: It was concluded that snake bite cases in Kashan are similar to other areas in Iran from an epidemiological point of view, including; age distribution rates, gender and site of the bites. The existence of Macrov ipera lebetina, a dangerous venomous snake, can cause a range of clinical effects among residents in central parts of Iran, such as Kashan area

Power-law Parameterized Quintessence Model

We introduce a power-law parameterized quintessence model for the dark energy which accelerate universe at the low redshifts while behaves as an ordinary matter for the early universe. We construct a unique scalar potential for this parameterized quintessence model. As the observational test, the Supernova Type Ia (SNIa) Gold sample data, size of baryonic acoustic peak from Sloan Digital Sky Survey (SDSS), the position of the acoustic peak from the CMB observations and structure formation from the 2dFGRS survey are used to constrain the parameters of the quintessence model. The best fit parameters indicates that the equation of state of this model at the present time is less than one $(w_0<-1)$ which violates the energy condition in General Relativity. Finally we compare the age of old objects with age of universe in this model.Comment: 11 pages, 17 figures, submitted to Phys. Rev.

Cost of a diagonal sexual and reproductive health package to enhance reproductive health among female sex workers in Durban, South Africa

Background and objectives: In response to HIV epidemic in Sub- Saharan Africa, there has been widespread concern about the structure and delivery of Sexual Reproductive Health (SRH) and HIV services to improve outcomes among high-risk groups, including sex workers. The ‘Diagonal Interventions to Fast-Forward Enhanced Reproductive health’ (DIFFER) project was conceptualised based on the hypothesis that integrating vertical SRH interventions targeted to FSW, with horizontal health systems strengthening, is likely to be more effective and cost-effective than current practice. The aim of the study was to measure the cost of designing and delivering a SRH package for female sex workers in Durban, South Africa, as part of the DIFFER project. / Methods: We measured the total and incremental costs of the DIFFER intervention package in Durban from a provider perspective, using a combination of ingredients and activity based costing approaches. An excel-based data capture tool was developed to collect the intervention package cost data. The intervention costs were collected prospectively from the project accounts of the implementing agencies and costs to the public health providers were collected via key informant interviews using a cost data capture form and subsequently entered into the spreadsheet. The total and average annual costs, as well as total and average annual costs per sex worker covered were estimated. All costs were adjusted for inflation, discounted and converted to 2016 International dollar. / Results: Total and average annual program costs of implementing the DIFFER intervention in Durban were INT$411,239 (INT$ 428,461, including services provided to the general population) and INT$256,594 (INT$ 273,816, including services provided to the general population) respectively. The total cost and average annual cost per sex worker covered were INT$117 and INT$ 73 respectively. Staff costs accounted for the largest proportion of the intervention cost, comprising more than 80% of the total cost, following by material and supplies, accounting for 10% of costs. / Conclusion: The DIFFER intervention package in Durban is a low cost intervention and likely to be cost-effective and sustainable. The intervention can be considered for replication and scale-up in South Africa and similar settings elsewhere

The Multiscale Morphology Filter: Identifying and Extracting Spatial Patterns in the Galaxy Distribution

We present here a new method, MMF, for automatically segmenting cosmic structure into its basic components: clusters, filaments, and walls. Importantly, the segmentation is scale independent, so all structures are identified without prejudice as to their size or shape. The method is ideally suited for extracting catalogues of clusters, walls, and filaments from samples of galaxies in redshift surveys or from particles in cosmological N-body simulations: it makes no prior assumptions about the scale or shape of the structures.}Comment: Replacement with higher resolution figures. 28 pages, 17 figures. For Full Resolution Version see: http://www.astro.rug.nl/~weygaert/tim1publication/miguelmmf.pd

Effectiveness of participatory women’s groups scaled up by the public health system to improve birth outcomes in Jharkhand, eastern India: a pragmatic cluster non-randomised controlled trial

INTRODUCTION: The WHO recommends community mobilisation with women’s groups practising participatory learning and action (PLA) to improve neonatal survival in high-mortality settings. This intervention has not been evaluated at scale with government frontline workers. METHODS: We did a pragmatic cluster non-randomised controlled trial of women’s groups practising PLA scaled up by government front-line workers in Jharkhand, eastern India. Groups prioritised maternal and newborn health problems, identified strategies to address them, implemented the strategies and evaluated progress. Intervention coverage and quality were tracked state-wide. Births and deaths to women of reproductive age were monitored in six of Jharkhand’s 24 districts: three purposively allocated to an early intervention start (2017) and three to a delayed start (2019). We monitored vital events prospectively in 100 purposively selected units of 10 000 population each, during baseline (1 March 2017–31 August 2017) and evaluation periods (1 September 2017–31 August 2019). The primary outcome was neonatal mortality. RESULTS: We identified 51 949 deliveries and conducted interviews for 48 589 (93.5%). At baseline, neonatal mortality rates (NMR) were 36.9 per 1000 livebirths in the early arm and 39.2 in the delayed arm. Over 24 months of intervention, the NMR was 29.1 in the early arm and 39.2 in the delayed arm, corresponding to a 24% reduction in neonatal mortality (adjusted OR (AOR) 0.76, 95% CI 0.59 to 0.98), including 26% among the most deprived (AOR 0.74, 95% CI 0.57 to 0.95). Twenty of Jharkhand’s 24 districts achieved adequate meeting coverage and quality. In these 20 districts, the intervention saved an estimated 11 803 newborn lives (min: 1026–max: 20 527) over 42 months, and cost 41 international dollars per life year saved. CONCLUSION: Participatory women’s groups scaled up by the Indian public health system reduced neonatal mortality equitably in a largely rural state and were highly cost-effective, warranting scale-up in other high-mortality rural settings. TRIAL REGISTRATION: ISRCTN99422435

Participatory learning and action cycles with women s groups to prevent neonatal death in low-resource settings: A multi-country comparison of cost-effectiveness and affordability.

WHO recommends participatory learning and action cycles with women's groups as a cost-effective strategy to reduce neonatal deaths. Coverage is a determinant of intervention effectiveness, but little is known about why cost-effectiveness estimates vary significantly. This article reanalyses primary cost data from six trials in India, Nepal, Bangladesh and Malawi to describe resource use, explore reasons for differences in costs and cost-effectiveness ratios, and model the cost of scale-up. Primary cost data were collated, and costing methods harmonized. Effectiveness was extracted from a meta-analysis and converted to neonatal life-years saved. Cost-effectiveness ratios were calculated from the provider perspective compared with current practice. Associations between unit costs and cost-effectiveness ratios with coverage, scale and intensity were explored. Scale-up costs and outcomes were modelled using local unit costs and the meta-analysis effect estimate for neonatal mortality. Results were expressed in 2016 international dollars. The average cost was $203 (range:$61-$537) per live birth. Start-up costs were large, and spending on staff was the main cost component. The cost per neonatal life-year saved ranged from$135 to $1627. The intervention was highly cost-effective when using income-based thresholds. Variation in cost-effectiveness across trials was strongly correlated with costs. Removing discounting of costs and life-years substantially reduced all cost-effectiveness ratios. The cost of rolling out the intervention to rural populations ranges from 1.2% to 6.3% of government health expenditure in the four countries. Our analyses demonstrate the challenges faced by economic evaluations of community-based interventions evaluated using a cluster randomized controlled trial design. Our results confirm that women's groups are a cost-effective and potentially affordable strategy for improving birth outcomes among rural populations

Optima TB: A tool to help optimally allocate tuberculosis spending.

Approximately 85% of tuberculosis (TB) related deaths occur in low- and middle-income countries where health resources are scarce. Effective priority setting is required to maximise the impact of limited budgets. The Optima TB tool has been developed to support analytical capacity and inform evidence-based priority setting processes for TB health benefits package design. This paper outlines the Optima TB framework and how it was applied in Belarus, an upper-middle income country in Eastern Europe with a relatively high burden of TB. Optima TB is a population-based disease transmission model, with programmatic cost functions and an optimisation algorithm. Modelled populations include age-differentiated general populations and higher-risk populations such as people living with HIV. Populations and prospective interventions are defined in consultation with local stakeholders. In partnership with the latter, demographic, epidemiological, programmatic, as well as cost and spending data for these populations and interventions are then collated. An optimisation analysis of TB spending was conducted in Belarus, using program objectives and constraints defined in collaboration with local stakeholders, which included experts, decision makers, funders and organisations involved in service delivery, support and technical assistance. These analyses show that it is possible to improve health impact by redistributing current TB spending in Belarus. Specifically, shifting funding from inpatient- to outpatient-focused care models, and from mass screening to active case finding strategies, could reduce TB prevalence and mortality by up to 45% and 50%, respectively, by 2035. In addition, an optimised allocation of TB spending could lead to a reduction in drug-resistant TB infections by 40% over this period. This would support progress towards national TB targets without additional financial resources. The case study in Belarus demonstrates how reallocations of spending across existing and new interventions could have a substantial impact on TB outcomes. This highlights the potential for Optima TB and similar modelling tools to support evidence-based priority setting